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Automatic detection of detached and erroneous electrodes in electrical impedance tomography

机译:在电阻抗断层扫描中自动检测脱落和错误的电极

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摘要

One unfortunate occurrence in experimental measurements with electrical impedance tomography is electrodes which become detached or poorly connected, such that the measured data cannot be used. This paper presents an automatic approach to detect such erroneous electrodes. It is based on the assumption that all valid measurements are related by the image reconstruction model, while the measurements from erroneous electrodes are unrelated. The method estimates the data at an electrode based on the measurements from all other electrodes, and compares it to the measurements. If these data match adequately, the set of electrodes does not contain an erroneous electrode. In order to detect an erroneous electrode amongst N electrodes, all sets of N - 1 electrodes are tested, and the set with the best match between measurements and estimate is identified as the one which excludes the erroneous electrode. The method was tested on simulated and experimental data and showed consistent identification of erroneous electrodes with those made by experts.
机译:在使用电阻抗层析成像的实验测量中,一种不幸的现象是电极脱落或连接不良,因此无法使用测量数据。本文提出了一种检测这种错误电极的自动方法。它基于这样的假设:图像重建模型将所有有效测量值关联起来,而错误电极的测量值则不相关。该方法基于来自所有其他电极的测量值估计电极上的数据,并将其与测量值进行比较。如果这些数据充分匹配,则该组电极不包含错误的电极。为了在N个电极中检测出错误的电极,对所有N-1个电极进行了测试,并将测量值和估计值之间最佳匹配的一组标识为排除错误电极的电极。该方法在模拟和实验数据上进行了测试,显示出与专家制造的电极一致的识别结果。

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